code: def load_data(
      self,
      csv_file: PATH_TYPE,
      input_key: str,
      target_key: Optional[str] = None,
  ) -> Dataset:
      return super().load_data(
          Dataset.from_pandas(load_data_frame(csv_file)),
          input_key,
          target_key,
      )
  
file_path: lightning-flash/src/flash/text/seq2seq/core/input.py
imports: from typing import List, Optional
  import flash
  from flash.core.data.io.input import DataKeys, Input
  from flash.core.data.utilities.loading import load_data_frame
  from flash.core.data.utilities.paths import PATH_TYPE
  from flash.core.utilities.imports import _TOPIC_TEXT_AVAILABLE, requires
label_desc: Use image node_id 1 for calling the Seq2SeqCSVInput obj's underlying member method code with example usage: obj.load_data(csv_file, input_key, target_key) and returns: super